CVE-2021-41225
published 2021-11-05CVE-2021-41225: TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the…
PriorityP336high7.8CVSS 3.1
AVLACLPRLUINSUCHIHAH
EPSS
0.20%
8.8th percentile
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected
13 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | — | — | |
| tensorflow | >= 2.4.0 < 2.4.4 | 2.4.4 | |
| tensorflow | >= 2.5.0 < 2.5.2 | 2.5.2 | |
| tensorflow | >= 2.6.0 < 2.6.1 | 2.6.1 | |
| intel | optimization_for_tensorflow | >= 0 < 2.4.4 | 2.4.4 |
| intel | optimization_for_tensorflow | >= 0 < 68867bf01239d9e1048f98cbad185bf4761bedd3 | 68867bf01239d9e1048f98cbad185bf4761bedd3 |
| intel | optimization_for_tensorflow | >= 2.5.0 < 2.5.2 | 2.5.2 |
| intel | optimization_for_tensorflow | >= 2.6.0 < 2.6.1 | 2.6.1 |
| intel | optimization_for_tensorflow | >= 2.7.0rc0 < 2.7.0 | 2.7.0 |
| tensorflow | tensorflow | < 2.4.4 | 2.4.4 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.17.8HIGHCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
nvdv2.02.1LOWAV:L/AC:L/Au:N/C:N/I:N/A:P
vendor_debian5.5LOW
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Debian
CVE-2021-41225: tensorflow - TensorFlow is an open source platform for machine learning. In affected versions...
vendor_debian·2021·CVSS 5.5
CVE-2021-41225 [MEDIUM] CVE-2021-41225: tensorflow - TensorFlow is an open source platform for machine learning. In affected versions...
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Scope: local
forky: resolved
sid: resolved
OSV
A use of uninitialized value vulnerability in Tensorflow
osv·2021-11-10
CVE-2021-41225 [MEDIUM] A use of uninitialized value vulnerability in Tensorflow
A use of uninitialized value vulnerability in Tensorflow
### Impact
TensorFlow's Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164):
```cc
const NodeDef* dequeue_node;
for (const auto& train_node : train_nodes) {
if (IsDequeueOp(*train_node)) {
dequeue_node = train_node;
break;
}
}
if (dequeue_node) {
...
}
```
If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.
### Patches
We have patched the issue in GitHub commit [68867bf01239d9e1048f98cbad185bf4761bedd3](https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cba
GHSA
A use of uninitialized value vulnerability in Tensorflow
ghsa·2021-11-10
CVE-2021-41225 [MEDIUM] CWE-908 A use of uninitialized value vulnerability in Tensorflow
A use of uninitialized value vulnerability in Tensorflow
### Impact
TensorFlow's Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164):
```cc
const NodeDef* dequeue_node;
for (const auto& train_node : train_nodes) {
if (IsDequeueOp(*train_node)) {
dequeue_node = train_node;
break;
}
}
if (dequeue_node) {
...
}
```
If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.
### Patches
We have patched the issue in GitHub commit [68867bf01239d9e1048f98cbad185bf4761bedd3](https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cba
OSV
CVE-2021-41225: TensorFlow is an open source platform for machine learning
osv·2021-11-05
CVE-2021-41225 CVE-2021-41225: TensorFlow is an open source platform for machine learning
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jwhttps://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
2021-11-05
Published